Predictive Analytics using SQL Server Machine Learning

The course begins with an introduction to fundamental concepts related to Predictive Analytics / Machine Learning, Data Science, Business Intelligence, OLAP and Data Warehousing. This course is packed with concepts and tasks related to Predictive Analytics / Machine Learning theory and methods, algorithms, techniques. Get introduced to the Predictive Analytics process techniques using Azure ML.

Supported versions of SQL Server: 2019 and 2022

On successful Completion of this course you will be able to:

Understand Predictive Analytics and Machine Learning Concepts
Explain data mining concepts and describe the benefits of predictive analysis
Understand the Microsoft Analytics Stack
Understand Microsoft Azure ML
Understand Predictive Analytics and Machine Learning and their role within Information Warehouse Architecture
Understand the CRISP-DM Methodology
Understand primary Machine Learning tasks
Describe the key steps of a Machine Learning process
Understand Predictive Analytics – Theory and Methods
Deploy various Predictive Analytics Methods and Techniques
Understand Neural Networks and Models
Understand Common Machine Learning Applications
Understand Azure Machine Learning - Azure ML
Understand the Azure ML Supported Algorithms
Explore Predictive Analytics Case studies

Course Requirements
Prerequisites	Some knowledge of SQL, Statistics and relational database systems
Target Audience
Audience	Data Scientists Business Analysts Developers Functional Implementer Business Intelligence Developer